Enriching understanding of the current theoretical debate on project-based learning and R&D sourcing, " Project-based Knowledge in Organizing Open Innovation "draws on innovation literature and knowledge-based perspectives to solve open problems in the relationship between knowledge development at project level and how firms organize product innovation combining in-house R&D activities with inbound open innovation.

Through field research in different industrial settings (pharmaceutical, automotive and machine tools) and with complementary methodological approaches, this book provides empirical evidence on how project knowledge features affect sourcing decisions at firm level.

Due to the emerging interest in the management literature on project-based organizations and on the relevance of project forms of organizing in a knowledge-based economy, this volume will appeal to scholars and students in business and management, in particular those in innovation management, organization theory and strategic management.

Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries."

Shedding new light on the human side of big data through the lenses of emotional and social intelligence competencies, this book advances the understanding of the requirements of the different professions that deal with big data. It also illustrates the empirical evidence collected through the application of the competency-based methodology to a sample of data scientists and data analysts, the two most in-demand big data jobs in the labor market. The book provides recommendations for the higher education system to offer better designed curricula for entry-level big data professions. It also offers managerial insights in describing how organizations and specifically HR practitioners can benefit from the competency-based approach to overcome the skill shortage that characterizes the demand for big data professional roles and to increase the effectiveness of the selection and recruiting processes.

Enriching understanding of the current theoretical debate on project-based learning and R&D sourcing, ‘Project-based Knowledge in Organizing Open Innovation’ draws on innovation literature and knowledge-based perspectives to solve open problems in the relationship between knowledge development at project level and how firms organize product innovation combining in-house R&D activities with inbound open innovation. Through field research in different industrial settings (pharmaceutical, automotive and machine tools) and with complementary methodological approaches, this book provides empirical evidence on how project knowledge features affect sourcing decisions at firm level. Due to the emerging interest in the management literature on project-based organizations and on the relevance of project forms of organizing in a knowledge-based economy, this volume will appeal to scholars and students in business and management, in particular those in innovation management, organization theory and strategic management. Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries.

This book represents the first comprehensive investigation of the role of emotional intelligence in promoting innovation in the organizational context. Offering emerging insights into the human side of innovation. This book highlights how it has become strategically important for firm innovativeness to identify and evaluate those behavioral competencies that enable entrepreneurs and professionals to generate different types of innovation (product, process, marketing, organizational and strategic innovation). It illustrates a classification of behavioral competencies for innovation and provides empirical evidence collected through the application of the competency-based methodology to a sample of entrepreneurs and new product development teams. This book provides practical policy and managerial implications on how to develop and evaluate behavioral competencies in the higher education and organizational settings in order to foster individual innovation capacity.

This book represents the first comprehensive investigation of the role of emotional intelligence in promoting innovation in the organizational context. Offering emerging insights into the human side of innovation. This book highlights how it has become strategically important for firm innovativeness to identify and evaluate those behavioral competencies that enable entrepreneurs and professionals to generate different types of innovation (product, process, marketing, organizational and strategic innovation). It illustrates a classification of behavioral competencies for innovation and provides empirical evidence collected through the application of the competency-based methodology to a sample of entrepreneurs and new product development teams. This book provides practical policy and managerial implications on how to develop and evaluate behavioral competencies in the higher education and organizational settings in order to foster individual innovation capacity.

Shedding new light on the human side of big data through the lenses of emotional and social intelligence competencies, this book advances the understanding of the requirements of the different professions that deal with big data. It also illustrates the empirical evidence collected through the application of the competency-based methodology to a sample of data scientists and data analysts, the two most in-demand big data jobs in the labor market. The book provides recommendations for the higher education system to offer better designed curricula for entry-level big data professions. It also offers managerial insights in describing how organizations and specifically HR practitioners can benefit from the competency-based approach to overcome the skill shortage that characterizes the demand for big data professional roles and to increase the effectiveness of the selection and recruiting processes.